Tag: working groups

MLCommons and AVCC Release Automotive Benchmark Proof-of-Concept

MLPerf Automotive Benchmark POC release is the first step toward a comprehensive benchmark suite for autonomous vehicles SAN JOSE, CA – JUNE 18, 2024 – MLCommons® and the Autonomous Vehicle Computing Consortium (AVCC) have achieved the first step toward a comprehensive MLPerf® Automotive Benchmark Suite for AI systems in vehicles with the release of the […]

Written by on June 18, 2024

AVCC Releases a New Report on Compute Scenarios for Benchmarking Machine Learning for Automated and Assisted Driving Systems

SAN JOSE, CA – JUNE 4, 2024 – The Autonomous Vehicle Computing Consortium (AVCC) today announced the publication of Technical Report 007 (TR-007) “Compute Scenarios for Benchmarking Machine Learning for Automated and Assisted Driving Systems.” Developed collaboratively by industry experts, TR-007 provides essential guidance for Original Equipment Manufacturers (OEMs), Tier 1 suppliers, and stakeholders in […]

Written by on June 4, 2024

AVCC Releases New Report on Baseline Cybersecurity for Automated Driving and Assisted Driving Systems

SAN JOSE, CA – APRIL 2, 2024 – AVCC, a global consortium dedicated to advancing automated and autonomous vehicles (AVs) by defining and evaluating AV computing solutions, has announced the release of its latest technical report, TR-006: Baseline Cybersecurity for Automated Driving & Assisted Driving Systems. This collaborative report, authored by multiple member companies, serves […]

Written by on April 2, 2024

AVCC and MLCommons Gather for Signing Ceremony at AVCC2023

While together in person at AVCC2023, MLCommons and AVCC took the opportunity to capture a photo during a signing ceremony of their legal collaboration agreement formalizing and consolidating the industry’s first Automotive Benchmark joint initiative. Automotive Benchmark members gathered with David Kanter, executive director of MLCommons, and Armando Pereira, president of AVCC, on September 28th […]

Written by on October 24, 2023

AVCC Announces the Release of New Technical Report to Help Simplify and Accelerate the Development of Software-Defined Vehicles via a Common Communication Data Architecture

SAN JOSE, CA – SEPTEMBER 14, 2023 –  AVCC, a global automated and autonomous vehicle (AV) consortium that specifies and benchmarks solutions for AV computing in the automotive industry, today announced the publication of its latest technical report, TR-005: Data-Oriented Communication Architecture for Automated and Assisted Driving Systems. This member-written multi-company technical report provides the […]

Written by on September 14, 2023

TR-005 Data-Oriented Communication Architecture for Automated and Assisted Driving Systems

Please complete the following form to access the report download:   About the Report: TR-005 Data-Oriented Communication Architecture for Automated and Assisted Driving Systems AVCC is tackling the challenges of spiraling complexity, costs, and effort of vehicle software system development and maintenance by envisioning an ecosystem of interoperable software components that work together by adhering […]

Written by on September 13, 2023

Automotive Benchmark Task Force – Call for Participation

Welcome to the Automotive Benchmark Task Force – a joint effort between AVCC and MLCommons. AVCC and MLCommons have issued an open call for participation – industry players, we want you to be at the forefront of automotive vehicle technology benchmarking. Join us! We are here to define and develop an industry-standard ML benchmark suite […]

Written by on May 24, 2023

AVCC and MLCommons Join Forces to Develop an Automotive Industry Standard Machine Learning Benchmark Suite

SAN JOSE, CA and SAN FRANCISCO, CA – MAY 17, 2023 – AVCC®, a global autonomous vehicle (AV) consortium that specifies and benchmarks solutions for AV computing in the automotive industry and MLCommons®, an open, global engineering consortium dedicated to making machine learning (ML) better for everyone, are announcing the industry’s first Automotive Benchmark to […]

Written by on May 17, 2023